Browse
Submit Data
Databases
API
Help

Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

146 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

GATA3 Reprograms Basal Breast Cancer Cells towards a Luminal Subtype and Inhibits Metastases through Suppression of Lysyl Oxidase

ABSTRACT: The transcription factor GATA3 is essential for luminal cell differentiation during mammary gland development and critical for formation of the luminal subtypes of breast cancer. Ectopic expression of GATA3 promoted global alterations of the transcriptome of basal triple-negative breast cancer cells resulting in molecular and cellular changes associated with a more differentiated, luminal tumor subtype and a concomitant reduction in primary tumor growth, lung metastasis, and macrophage recruitment at the metastatic site. Importantly, we demonstrate that the inhibition of metastases by GATA3 results from the suppression of lysyl oxidase (LOX) expression, a metastasis promoting matrix protein that affects cell proliferation, cross-linking of extracellular collagen types, and establishment of the metastatic niche. There are 2 samples sent in triplicates.

ORGANISM(S): Homo sapiens

SUBMITTER: Jeffrey Green

PROVIDER: E-GEOD-24249 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

ACCESS DATA

Json Xml

Similar Datasets

MDA-MB-231 cells: shMUC4 transfected vs. Control SCR

Project description:Identification of MUC4-associated expression of genes by comparing MUC4 knockdown (MDA-MB-231-shMUC4) and control (MDA-MB-231-SCR). Two-condition experiment, MUC4 knockdown cells vs. control. Biological replicates: 2 control, 2 sh-MUC4 transfected, independently grown and harvested. one replicate per array.

2012-12-31 | E-GEOD-40157 | biostudies-arrayexpress

The¬¬¬ androgen receptor interacts with GATA3 to transcriptionally regulate a luminal epithelial cell phenotype in breast cancer

Project description:Background: The androgen receptor (AR) is a tumor suppressor in estrogen receptor (ER) positive breast cancer, a role sustained in some ER negative breast cancers. Key factors dictating AR genomic activity in a breast context are largely unknown. Herein, we employed an unbiased chromatin immunoprecipitation-based proteomic technique to identify endogenous AR interacting co-regulatory proteins in ER positive and negative models of breast cancer to gain new insight into mechanisms of AR signaling in this disease. Results: The DNA-binding factor GATA3 is identified and validated as a novel AR interacting protein in breast cancer cells irrespective of ER status. AR activation by the natural ligand 5α-dihydrotestosterone (DHT) increases nuclear AR-GATA3 interactions, resulting in AR-dependent enrichment of GATA3 chromatin binding at a sub-set of genomic loci. Silencing GATA3 reduces but does not prevent AR DNA binding and transactivation of genes associated with AR/GATA3 co-occupied loci, indicating a co-regulatory role for GATA3 in AR signaling. DHT-induced AR/GATA3 binding coincides with upregulation of luminal differentiation genes, including EHF and KDM4B, established master regulators of a breast epithelial cell lineage. These findings are validated in a patient-derived xenograft model of breast cancer. Interaction between AR and GATA3 is also associated with AR-mediated growth inhibition in ER positive and ER negative breast cancer.

2024-01-30 | PXD047997 | Pride

Expression data from DKAT and other breast cancer cell lines under baseline growth conditions

Project description:The DKAT cell line is a novel model of triple-negative breast cancer that was isolated from the pleural effusion of a 35 year-old caucasian woman with triple-negative breast cancer. We used microarrays to look at gene expression in the DKAT cell line compared to several other commonly-used breast cancer cell lines as well as a previously published data set in order to determine the molecular subtype of the DKAT cell line. DKAT, HMEC, and MDA-MB-231 cells were cultured in Mammary Epithelial Growth Media (MEGM, Lonza). RNA was isolated using Qiagen RNeasy kit and hybridization on Affymetrix microarrays was performed. Three separate cDNA reactions were performed and these were run as replicates.

2012-05-31 | E-GEOD-33145 | biostudies-arrayexpress

Context-Specific Regulation of NF-?B Target Gene Expression by EZH2 in Breast Cancers

Project description:Both EZH2 and NF-?B contribute to aggressive breast cancer, yet whether the two oncogenic factors have functional cross-talk in breast cancer is largely unknown. Here, we uncover an unexpected role of EZH2 in conferring the constitutive activation of NF-?B target gene expression in ER-negative basal-like breast cancer cells. This function of EZH2 is independent of its histone methyltransferase activity but requires the physical interaction with RelA/RelB to promote the expression of NF-?B targets. Intriguingly, EZH2 acts oppositely in repressing NF-?B targets in ER-positive luminal-like breast cancer cells by interacting with ER and directing repressive histone methylation. Thus, EZH2 function as a double-facet molecule in breast cancers, functioning either as a transcriptional activator or repressor of NF-?B targets, in a cell context-dependent manner. These findings reveals an additional mechanism by which EZH2 promotes breast cancer progression and also underscore the need for developing context-specific strategy for therapeutic targeting of EZH2 in breast cancers. 12 samples were analyzed including three replicates of siNC CTRL and siEZH2 CTRL.

2011-08-14 | E-GEOD-30670 | biostudies-arrayexpress

Characteristics of Cross-Hybridization and Cross-Alignment in Pseudo-Xenograft samples by RNA-Seq and Microarrays [RNA-Seq]

Project description:In order to study molecular changes in the stroma from tissue samples it is recommended to separate tumor tissue from stromal tissue. This is particularly relevant to mouse tumor xenograft models where tumor, particularly metastatic tumors, can be small and difficult to separate from the host tissue. In our research we compared qualitatively the ability of high-throughput mRNA sequencing, RNA-Seq, and microarrays to detect tumor (human) and stromal (mouse) expression from mixed tumor-stromal samples in terms of the genes and pathways that are involved in cross-alignment (RNA-Seq) and cross-hybridization (microarrays). Human samples consisted of total RNA obtained from MDA-MB-231 human breast carcinoma cell line and isolated from three independent cultures of sub-confluent MDA-MB-231 cell lines in exponential phase of growth. Mouse samples were obtained from NOD scid gamma mice, and normal lung tissue was harvested from three independent age-matched mice.

2012-12-14 | E-GEOD-40890 | biostudies-arrayexpress

Gene expression signatures for breast cancer cells metastatic to bone marrow

Project description:To clarify and compare gene expression profile of each cell line, we have employed microarray expression profiling. The expression of many genes was similar in MM231-D3H2LN-GFP-BM2 cells parental cells, MM231-D3H2LN-GFP cells; however, the expression of genes related to the cell cycle was decreased in the BM2 cells compared with the parental cells. We also confirmed that the global gene expression patterns of the CD44+ and CD44- MM231-D3H2LN-GFP-BM2 cells were similar, although some genes which encode proteins that breast cancer cell dormancy, such as SRC and ERBB2 were increased and decreased, respectively, in the CD44- population. The gene expression of breast cancer cells metastatic to bone marrow and those with or without expression of cancer stem cell marker were measured.

2014-07-03 | E-GEOD-57921 | biostudies-arrayexpress

MDA-MB-231/1833 bone-metastatic breast cancer cell gene expression after conditioning in conditioned medium from HUVECs conditioned in conditioned medium from static and flow-stimulated MLO-Y4 osteocytes

Project description:Bone metastases is a common severe complication for breast cancer. We previously showed that conditioned medium (CM) from osteocytes stimulated with oscillatory fluid flow, mimicking bone mechanical loading during routine physical activities, reduced breast cancer cell extravasation across endothelial monolayers. Endothelial cells are situated at an ideal location to mediate signals between osteocytes in the bone matrix and metastasizing cancer cells in the blood vessels. Therefore, we used RNA sequencing to show that CM from endothelial cells conditioned in CM from flow-stimulated osteocytes significantly altered gene expression in bone-metastatic breast cancer cells. This This provides insights into the capability of bone-loading activity in preventing bone metastases.

2018-11-13 | E-MTAB-7176 | biostudies-arrayexpress

A newly identified spliced isoform of metadherin differently regulates the global transcriptomic profile in MDA-MB-231 breast cancer cells

Project description:The current study analyzed the metadherin (MTDH)-mediated altered gene expression profiles in ER negative MDA-MB-231 cells. Some of these altered gene expressions were further inter connected to various pathways which may eventually be recognized as drug targets or biomarkers in those breast cancers where MTDH plays a role in cancer progression/metastasis. To understand the global differential gene expression profile in MTDH-wild type and a newly identified MTDH-isoform knock down in metastatic breast cancer cells. This data was compared to untreated breast cancer cells.

2014-09-01 | E-GEOD-59057 | biostudies-arrayexpress

Cellular reprogramming by the conjoint action of ERalpha, FOXA1, and GATA3 to a ligand inducible growth state

Project description:Despite the role of the estrogen receptor alpha (ERalpha) pathway as a key growth driver for breast cells, the phenotypic consequence of exogenous introduction of ERalpha into ERalpha-negative cells paradoxically has been growth inhibition. We map the binding profiles of ERalpha and its interacting transcription factors (TFs), FOXA1 and GATA3 in MCF-7 breast carcinoma cells. We observe that these three TFs form a functional enhanceosome and cooperatively modulate the transcriptional networks previously ascribed to ERalpha alone. We demonstrate that these enhanceosome occupied sites are associated with optimal enhancer characteristics with highest p300 coactivator recruitment, RNA Pol II occupancy, and chromatin opening. The enhancesome binding sites appear to regulate the genes driving core ERalpha function. Most importantly, we show that the transfection of all three TFs was necessary to reprogramme the ERalpha-negative MDA-MB-231 and BT-459 cells to restore the estrogen responsive growth and to transcriptionally resemble the estrogen treated ERalpha-positive MCF-7 cells. Cumulatively, these results suggest that all the enhanceosome components comprising ERalpha, FOXA1 and GATA3 are necessary for the full repertoire of cancer associated effects of the ERalpha. Illumina HumanRef-8 v3 Expression BeadChip was used to measure the gene expression levels from ERalpha negative breast cancer cell MDA-MB-231 with different transfections: with vector control, with ERalpha only, or with ERalpha+FOXA1+GATA3 combined.

2011-09-04 | E-GEOD-30574 | biostudies-arrayexpress

Phenotypic Plasticity in Aggressive Triple-Negative Breast Cancer: Human Biology is Recapitulated by a Novel Model System

Project description:This SuperSeries is composed of the following subset Series: GSE33145: Expression data from DKAT and other breast cancer cell lines under baseline growth conditions GSE33146: Expression data from DKAT breast cancer cell line pre- and post-EMT Refer to individual Series

2012-05-31 | E-GEOD-33167 | biostudies-arrayexpress

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data